本文關(guān)鍵詞：組網(wǎng)成像衛(wèi)星任務(wù)規(guī)劃魯棒性建模與算法研究　出處：《哈爾濱工業(yè)大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 成像衛(wèi)星 任務(wù)規(guī)劃 證據(jù)理論 魯棒性模型 改進(jìn)遺傳算法

【摘要】：組網(wǎng)成像任務(wù)規(guī)劃呈現(xiàn)出衛(wèi)星組網(wǎng)規(guī)模大、成像要求高、時效性強(qiáng)、資源種類多等特點。成像衛(wèi)星任務(wù)規(guī)劃受到目標(biāo)插入、取消、屬性變動、氣象因素變動等風(fēng)險要素影響的程度越來越廣。單純的靜態(tài)環(huán)境下的規(guī)劃方案已經(jīng)不能滿足多變環(huán)境中對方案穩(wěn)健性的要求。在此背景下,編制具備較強(qiáng)魯棒性的成像衛(wèi)星任務(wù)規(guī)劃方案需求正是本文研究的前提和基礎(chǔ),也是資源調(diào)度,方案規(guī)劃的現(xiàn)實需要。本文為解決組網(wǎng)成像衛(wèi)星任務(wù)魯棒性規(guī)劃而開展的具體的工作內(nèi)容如下:(1)依據(jù)成像衛(wèi)星任務(wù)執(zhí)行的過程,分析、歸納了不確定性要素,以及根據(jù)魯棒性需求采取不同的應(yīng)對策略。根據(jù)各種風(fēng)險要素的特點,利用證據(jù)理論綜合信息來處理影響成像衛(wèi)星任務(wù)執(zhí)行的不確定性。同時,尋求新的魯棒性指標(biāo),以便在模型求解過程中獲取具備較強(qiáng)魯棒性的執(zhí)行序列。(2)根據(jù)組網(wǎng)成像衛(wèi)星任務(wù)規(guī)劃現(xiàn)實要求,結(jié)合風(fēng)險要素構(gòu)建魯棒性調(diào)度模型。在魯棒性規(guī)劃模型構(gòu)建進(jìn)程中,進(jìn)行符號化表示和解釋。根據(jù)研究問題的重點,構(gòu)建滿足限制條件的魯棒性模型和優(yōu)化函數(shù)。(3)針對模型求解型NP-Hard問題,本文應(yīng)用以遺傳算法為基礎(chǔ)對模型求解。新算法以遺傳算法為基礎(chǔ),結(jié)合模擬退火算法。新方法要應(yīng)用新的問題染色體組成,避免遺傳算法只取局部最優(yōu)解的問題,以及應(yīng)用更加高效的進(jìn)化策略。(4)模型仿真案例實驗。本文利用仿真軟件STK工具包設(shè)立相應(yīng)的場景。規(guī)劃場景中包含若干成像衛(wèi)星和分布均勻的地面目標(biāo),根據(jù)構(gòu)建的魯棒性模型和模型求解算法求解場景規(guī)劃。案例仿真算例得到規(guī)劃方案,以此進(jìn)行分析。
[Abstract]:The imaging mission planning of the imaging network shows the characteristics of large scale of satellite network, high imaging requirements, strong timeliness, and many kinds of resources. The mission planning of imaging satellite is subject to target insertion, cancellation and attribute change. The degree of influence of risk factors such as the change of meteorological factors is more and more extensive. The planning scheme under the simple static environment can not meet the requirements of the robustness of the scheme in the changeable environment. In this context. It is the premise and foundation of this paper to develop a robust mission planning scheme for imaging satellite, and it is also the resource scheduling. The specific work of this paper to solve the robust planning of imaging satellite mission is as follows: 1) according to the imaging satellite mission implementation process, analysis. The uncertain factors are summarized, and different coping strategies are adopted according to the requirements of robustness, and according to the characteristics of various risk factors. The evidence theory is used to synthesize information to deal with the uncertainty that affects the performance of the imaging satellite mission. At the same time, a new robust index is sought. In order to obtain the execution sequence with strong robustness in the process of model solving.) according to the practical requirements of mission planning of networked imaging satellite. The robust scheduling model is constructed by combining the risk factors. In the process of constructing the robust planning model, the symbolic representation and interpretation are carried out. According to the focus of the research. To solve the NP-Hard problem of model solving, this paper applies the genetic algorithm to solve the model. The new algorithm is based on the genetic algorithm. Combined with simulated annealing algorithm, the new method should apply new problem chromosome composition to avoid the problem that genetic algorithm only takes local optimal solution. And applying a more efficient evolutionary strategy. Model simulation case experiment. This paper uses the simulation software STK toolkit to set up the corresponding scene. The planning scenario includes several imaging satellites and even distributed ground targets. According to the robust model and the algorithm of solving the model, the scenario planning is solved, and the case simulation example is used to get the planning scheme.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：V474
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本文編號：1393496